AI Engineer - Foundation Models & Auto-Labeling for Autonomous Driving
Summary
VinFast, an electric-vehicle maker, is hiring an AI engineer in Hanoi to build foundation-model-based auto-labeling pipelines for autonomous-driving data: fine-tuning vision foundation models and VLMs (SAM, DINO, CLIP-style) and optimizing large-scale GPU inference to auto-generate 2D/3D perception labels. Core stack: Python, PyTorch, GPU training/inference.
We are seeking an AI Engineer specializing in Foundation Models and Computer Vision to develop scalable auto-labeling solutions for autonomous-driving data. You will leverage Vision Foundation Models (VFMs), Vision-Language Models (VLMs), and multimodal AI to automatically generate high-quality annotations from large-scale driving datasets, reducing manual labeling effort and accelerating perception-model development.
Key Responsibilities
- Develop foundation-model-based auto-labeling pipelines for 2D/3D detection, segmentation, tracking, lanes, freespace, traffic signs/lights, and scene understanding.
- Adapt and fine-tune VFMs/VLMs and multimodal models for autonomous-driving domains using fine-tuning, prompting, distillation, and pseudo-labeling.
- Leverage temporal and multimodal information to improve label accuracy and consistency across driving sequences.
- Optimize foundation-model inference for large-scale, cost-efficient GPU processing and production deployment.
- Collaborate with perception, data, infrastructure, and annotation teams to integrate auto-labeling into the autonomous-driving data pipeline.
Requirements
- BS/MS/PhD in Computer Science, AI, Robotics, Electrical Engineering, or related field.
- At least 3 years of experience in similar positions.
- Strong expertise in Computer Vision, Deep Learning, and Foundation Models.
- Experience with Vision Transformers, VLMs, multimodal models, or self-supervised learning.
- Solid knowledge of object detection, segmentation, tracking, and 2D/3D perception.
- Strong experience with Python, PyTorch, and GPU-based model training/inference.
- Experience with large-scale datasets, model evaluation, and ML pipelines.
Preferred: Experience with autonomous driving/ADAS, SAM-family models, DINO/Grounding DINO, CLIP/SigLIP-style models, open-vocabulary perception, BEV/3D perception, active learning, model distillation, TensorRT/ONNX, or distributed GPU inference.
Benefits
- Opportunity to work on cutting-edge perception systems with real-world impact.
- A collaborative, fast-paced, and innovation-driven environment.
- Clear career growth path, leadership opportunities, and support for research and learning.Competitive salary
- Premium healthcare package, including PVI insurance & annual health check-ups
- 13th-month salary & performance bonuses to reward your contributions
- Enjoy preferential pricing for services within the Vingroup ecosystem including Vinmec, Vinpearl, and Vinschool...
Work Location:
- In Ha Noi: Technopark Tower, Gia Lam, Ha Noi
- In Ho Chi Minh: Vinhomes Golden River, Ho Chi Minh City, Vietnam
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